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https://hdl.handle.net/10356/4558
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lau, Hui Hui. | en_US |
dc.date.accessioned | 2008-09-17T09:54:14Z | - |
dc.date.available | 2008-09-17T09:54:14Z | - |
dc.date.copyright | 2004 | en_US |
dc.date.issued | 2004 | - |
dc.identifier.uri | http://hdl.handle.net/10356/4558 | - |
dc.description.abstract | The integration of real-time video streaming in a Collaborative Virtual Environment (CVE) is explored and proposes a live facial image extraction based video streaming approach that significantly decreases the amount of network bandwidth required. | en_US |
dc.rights | Nanyang Technological University | en_US |
dc.subject | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems | - |
dc.title | Live video streaming in VRML based large-scale CVE | en_US |
dc.type | Thesis | en_US |
dc.contributor.supervisor | Lin, Qingping | en_US |
dc.contributor.school | School of Electrical and Electronic Engineering | en_US |
dc.description.degree | Master of Science (Communication Software and Networks) | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | restricted | - |
Appears in Collections: | EEE Theses |
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File | Description | Size | Format | |
---|---|---|---|---|
EEE-THESES_580.pdf Restricted Access | 7.39 MB | Adobe PDF | View/Open |
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